sklearn.utils
.check_random_state¶
- sklearn.utils.check_random_state(seed)[source]¶
Turn seed into a np.random.RandomState instance.
- Parameters:
- seedNone, int or instance of RandomState
If seed is None, return the RandomState singleton used by np.random. If seed is an int, return a new RandomState instance seeded with seed. If seed is already a RandomState instance, return it. Otherwise raise ValueError.
- Returns:
numpy.random.RandomState
The random state object based on
seed
parameter.
Examples using sklearn.utils.check_random_state
¶
![Empirical evaluation of the impact of k-means initialization](../../_images/sphx_glr_plot_kmeans_stability_low_dim_dense_thumb.png)
Empirical evaluation of the impact of k-means initialization
Empirical evaluation of the impact of k-means initialization
![MNIST classification using multinomial logistic + L1](../../_images/sphx_glr_plot_sparse_logistic_regression_mnist_thumb.png)
MNIST classification using multinomial logistic + L1
MNIST classification using multinomial logistic + L1